Course Name: Basics of software-defined radios and practical applications

Course abstract

Software-defined radio (SDR) is an inherent part of modern communication system, where many processes, which used to be implemented in hardware, are defined in software domain for flexibility and configurability. This course describes various components of software-defined-radios with the understanding of their limitation and application of ‘software-defined-solutions’ to overcome such limitations. Understanding the interplay of analog and digital signal processing for power as well as spectrum efficient transmission and reception of signal leads to an optimized, yet, practical radio solution. This course will allow students to understand (1) the terminology used in industrial data-sheets and (2) motivation for selecting appropriate commercial solutions for a practical transceiver design.


Course Instructor

Media Object

Dr. Meenakhi Rawat

Dr. Meenakshi Rawat received the BTech degree in electrical engineering from the GovindBallabh Pant University of Agriculture and Technology, Uttarakhand, India, in 2006, and the MSc and PhD degrees in electrical and computer engineering from the University of Calgary, Calgary, AB, Canada, in 2012. From September 2012 to June 2013, she was a Post-Doctoral Research Fellow with the University of Calgary. From July 2013 to June 2014, she was a Post-Doctoral Project Researcher/Scientist with the Ohio State University. She is currently an Assistant Professor with the Indian Institute of Technology (IIT), Roorkee, Uttarakhand, India. Dr. Rawat was workshop co-chair for ARFTG-82 and session co-chair for MMwave and THz Designs for iMARC 2014, Bangalore, India. She was part of the Calgary group that won Overall Championship and Best Design Prize of the 3rd Annual Smart Radio Challenge, Wireless Innovation Forum. She was also the three-time recipient of the ResearchProduction Award in the University of Calgary and Best Poster Award of the 82nd Automatic RF Techniques Group (ARFTG) Conference, Columbus, OH, USA, in 2013. She is currently handling four research projects with funding from defense, private telecommunication industries and one internationational funding related to SDR for 5G communication


Teaching Assistant(s)

Praveen Jaraut

Ph.D., Electronics and Communication Engineering

GIRISH CHANDRA TRIPATHI

Ph.D PURSUING

 Course Duration : Feb-Mar 2018

  View Course

 Enrollment : 20-Nov-2017 to 05-Feb-2018

 Exam registration : 08-Jan-2018 to 07-Mar-2018

 Exam Date : 28-Apr-2018

Enrolled

4346

Registered

304

Certificate Eligible

238

Certified Category Count

Gold

1

Silver

0

Elite

98

Successfully completed

139

Participation

33

Success

Elite

Gold





Legend

>=90 - Elite + Gold
60-89 - Elite
40-59 - Successfully Completed
<40 - No Certificate

Final Score Calculation Logic

  • Assignment Score = Average of best 3 out of 4 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Basics of software-defined radios and practical applications - Toppers list
Top 1 % of Certified Candidates

R. ANIRUDH 95%

C-DOT

AKHIL P 87%

THANGAL KUNJU MUSALIAR COLLEGE OF ENGINEERING


Top 2 % of Certified Candidates

S.S.AAMIR 85%

INDIAN INSTITUTE OF INFORMATION TECHNOLOGY DHARWAD

DEEPMALA TRIVEDI 85%

SHRI RAM SWAROOP MEMORIAL COLLEGE OF ENGG. & MANAGEMENT

MINAKSHI DIXIT 83%

ANDHRA UNIVERSITY COLLEGE OF ENGINEERING


Top 5 % of Certified Candidates

I VISVESWARAN 82%

TATA POWER SED

M P CHITRA 81%

PANIMALAR INSTITUTE OF TECHNOLOGY

CHINNI KEERTHI 81%

ANDHRA UNIVERSITY COLLEGE OF ENGINEERING

DR.S.SOBANA 81%

PSNA COLLEGE OF ENGINEERING AND TECHNOLOGY

G RAVI KUMAR 80%

ANURAG GROUPS OF INSTITUTIONS

P KISHORE 79%

SASTRA UNIVERSITY

AMUL BATRA 79%

Ministry of Civil Aviation

G THIRUNAVUKKARASU 79%

KONGU ENGINEERING COLLEGE

CHITRA S 79%

RAJALAKSHMI ENGINEERING COLLEGE

Enrollment Statistics

Total Enrollment: 4346

Data Not Found..!
Data Not Found..!

Assignment Statistics




Assignment

Exam score

Final score

Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.